中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2014年
10期
1546-1555
,共10页
需求响应%空调负荷%直接负荷控制%双层优化%负荷聚合商%负荷调度
需求響應%空調負荷%直接負荷控製%雙層優化%負荷聚閤商%負荷調度
수구향응%공조부하%직접부하공제%쌍층우화%부하취합상%부하조도
demand response%air-conditioning load%direct load control%bi-level optimization%load aggregator%load dispatch
空调负荷占电力终端设备的比重逐年增长,已成为峰荷最重要的组成部分,加深了中国高峰时段的供需矛盾,导致峰谷差进一步拉大。但同时空调负荷具有一定热存储能力,具备巨大的负荷调节潜力,可以通过需求响应纳入到电力系统调度中。为此,提出了基于直接负荷控制的空调负荷双层优化调度和控制模型。在宏观层模型中,根据负荷聚合商在各时段的空调负荷出力和报价,优化调度计划,最小化电力公司负荷调度成本;在微观层模型中,通过优化其管辖范围内空调负荷的控制策略,使得实际的空调负荷出力与调度计划尽可能保持一致并最大化其利益。通过算例分析说明了所提出模型的应用方法。
空調負荷佔電力終耑設備的比重逐年增長,已成為峰荷最重要的組成部分,加深瞭中國高峰時段的供需矛盾,導緻峰穀差進一步拉大。但同時空調負荷具有一定熱存儲能力,具備巨大的負荷調節潛力,可以通過需求響應納入到電力繫統調度中。為此,提齣瞭基于直接負荷控製的空調負荷雙層優化調度和控製模型。在宏觀層模型中,根據負荷聚閤商在各時段的空調負荷齣力和報價,優化調度計劃,最小化電力公司負荷調度成本;在微觀層模型中,通過優化其管轄範圍內空調負荷的控製策略,使得實際的空調負荷齣力與調度計劃儘可能保持一緻併最大化其利益。通過算例分析說明瞭所提齣模型的應用方法。
공조부하점전력종단설비적비중축년증장,이성위봉하최중요적조성부분,가심료중국고봉시단적공수모순,도치봉곡차진일보랍대。단동시공조부하구유일정열존저능력,구비거대적부하조절잠력,가이통과수구향응납입도전력계통조도중。위차,제출료기우직접부하공제적공조부하쌍층우화조도화공제모형。재굉관층모형중,근거부하취합상재각시단적공조부하출력화보개,우화조도계화,최소화전력공사부하조도성본;재미관층모형중,통과우화기관할범위내공조부하적공제책략,사득실제적공조부하출력여조도계화진가능보지일치병최대화기이익。통과산례분석설명료소제출모형적응용방법。
The proportion of air-conditioning load in electric terminal devices is growing year by year. Air-conditioning load is the most important part of the power peak-load, deepening the contradiction between supply and demand in China during peak periods and further widening the peak-valley difference. But the air-conditioning load has thermal storage ability, which has the huge potential of load regulation and can be connected into power system dispatch through demand response. The bi-level optimal dispatch and control model for air-conditioning load based on direct load control was proposed to deal with the problem in this paper. The macro-layer model was devoted to minimizing the cost of load dispatch through optimizing dispatching scheme based on air-conditioning load outputs and biddings of load aggregators, and the micro one was aimed at minimizing the difference between air-conditioning outputs and dispatching scheme through optimizing the control strategy of load aggregators. The case study shows the application of the proposed model.